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We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such as SLAM, where it is essential to track a low number of preferably reliable templates. Our approach is based on simple image features specifically designed to identify texture properties which are problematic for tracking...
We consider the multi-sensor tracking systems. In order to solve the sensor registration in multi-sensor tracking system, we propose a new solution based on improved Bayesian regularization algorithm using neural networks in this paper. The nonparametric nature of this approach guarantees that many different kinds of sensor biases can be registered adequately; Levenberg-Marquardt optimum algorithm...
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